Page 245 - Data Science Algorithms in a Week

In: Artificial Intelligence ISBN: 978-1-53612-677-8
Editors: L. Rabelo, S. Bhide and E. Gutierrez © 2018 Nova Science Publishers, Inc.

Chapter 10

THE UTILIZATION OF CASE-BASED REASONING:

A CASE STUDY OF THE HEALTHCARE SECTOR

USING SIMULATION MODELING

1,*
2
Khaled Alshareef , Ahmad Rahal and Mohammed Basingab 3
1 Industrial and Systems Engineering,
King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
2 College of Business, University of Arkansas, Fort Smith, Arkansas, US
3 Industrial Engineering, King Abdulaziz University, Jeddah, Saudi Arabia

ABSTRACT

The use of Discrete Events Simulations (DES) in the healthcare sector is not new.
However, the inherent complexity of operations, the need to understand the complexity
and the stochastic nature of the modeling process, and the lack of real data, have
alienated many stakeholders and severely limited their involvement in healthcare. This
research posits that the combined use of DES and Case-Based Reasoning (DES-CBR)
can assist in the solution of new cases, and improve the stakeholders’ involvement by
eliminating the need for simulation or statistical knowledge or experience. Using a
number of unique healthcare based simulation cases, a base-case system was initially
developed and then used to implement the CBR using a case study, with results evaluated
using real data from the system and by healthcare experts.

Keywords: case-based reasoning, simulation modeling, healthcare sector

* Corresponding Author Email: shfkhaled@gmail.com